Geophysical investigation of landslides : a review

山崩 地质学 地球物理学 地球物理成像 地震学
作者
Denis Jongmans,Stéphane Garambois
出处
期刊:Bulletin De La Societe Geologique De France [EDP Sciences]
卷期号:178 (2): 101-112 被引量:337
标识
DOI:10.2113/gssgfbull.178.2.101
摘要

Abstract In the last two decades, shallow geophysics has considerably evolved with the emergence of 2D spatial imaging, then 3D spatial imaging and now 4D time and space imaging. These techniques allow the study of the spatial and temporal variations of geological structures. This paper aims at presenting a current state-of-the-art on the application of surface geophysical methods to landslide characterization and focuses on recent papers (after 1990) published in peer-reviewed international journals. Until recently, geophysical techniques have been relatively little used for the reconnaissance of landslides for at least two main reasons. The first one is that geophysical methods provide images in terms of physical parameters, which are not directly linked to the geological and mechanical properties required by geologists and engineers. The second reason shown through this study probably comes from a tendency among a part of the geophysicists to overestimate the quality and reliability of the results. This paper gave the opportunity to review recent applications of the main geophysical techniques to landslide characterisation, showing both their interest and their limits. We also emphasized the geophysical image characteristics (resolution, penetration depth), which have to be provided for assessing their reliability, as well as the absolute requirements to combine geophysical methods and to calibrate them with existing geological and geotechnical data. We hope that this paper will contribute to fill the gaps between communities and to strength of using appropriate geophysical methods for landslide investigation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1459完成签到,获得积分10
刚刚
美猪猪完成签到,获得积分10
2秒前
4秒前
5秒前
上官若男应助执着的老虎采纳,获得10
6秒前
粒粒糖发布了新的文献求助10
7秒前
科研通AI2S应助感动的亦云采纳,获得10
8秒前
科目三应助搬砖采纳,获得10
8秒前
8秒前
希望天下0贩的0应助lianlian采纳,获得10
9秒前
9秒前
学术废物发布了新的文献求助10
9秒前
10秒前
11秒前
12秒前
YMing发布了新的文献求助10
13秒前
14秒前
小二郎应助caoju采纳,获得10
14秒前
CodeCraft应助llanncy采纳,获得10
15秒前
ACEmeng发布了新的文献求助10
15秒前
福瑞灯发布了新的文献求助10
15秒前
15秒前
16秒前
17秒前
Yuuuu完成签到 ,获得积分10
18秒前
大个应助红烧驱逐舰采纳,获得10
18秒前
李一琳完成签到,获得积分10
18秒前
靓丽行天发布了新的文献求助10
20秒前
吴荣方完成签到,获得积分10
21秒前
老兵发布了新的文献求助10
22秒前
22秒前
22秒前
24秒前
Anthony_潇发布了新的文献求助10
25秒前
吴荣方发布了新的文献求助10
25秒前
26秒前
26秒前
今后应助Janus采纳,获得10
27秒前
远帆江上发布了新的文献求助10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Psychology and Work Today 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Kinesiophobia : a new view of chronic pain behavior 600
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5895806
求助须知:如何正确求助?哪些是违规求助? 6706758
关于积分的说明 15732310
捐赠科研通 5018331
什么是DOI,文献DOI怎么找? 2702500
邀请新用户注册赠送积分活动 1649180
关于科研通互助平台的介绍 1598460